Results 71 to 80 of about 75,533 (300)

Farmstead-Specific Weather Risk Prediction Technique Based on High-Resolution Weather Grid Distribution

Atmosphere
In recent years, the importance and severity of weather-related disasters have escalated, attributed to rising temperatures and the occurrence of extreme weather events due to global warming.
Dae-Jun Kim, Jin-Hee Kim, Eun-Jeong Yun, Dae Gyoon Kang, Eunhye Ban   +4 more
doaj   +1 more source

Spatially-Aggregated Temperature Derivatives: Agricultural Risk Management in China

International Journal of Financial Studies, 2016
In this paper, a new form of weather derivative contract, namely the climatic zone-based growth degree-day (GDD) contract, is introduced. The objective is to increase the risk management efficiency in the agricultural sector of China and to reduce the ...
Lu Zong, Manuela Ender
doaj   +1 more source

Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations

Advanced Robotics Research, EarlyView.
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley   +1 more source

Municipalities' Preparedness for Weather Hazards and Response to Weather Warnings.

PLoS ONE, 2016
The study of the management of weather-related disaster risks by municipalities has attracted little attention even though these organizations play a key role in protecting the population from extreme meteorological conditions.
Kaddour Mehiriz, Pierre Gosselin
doaj   +1 more source

Climate Change Threatens Micronutrient Density of European Winter Wheat

Advanced Science, EarlyView.
Micronutrients are vital for human health. Wheat is a major staple crop and a significant source of minerals and B‐vitamins. The impact of climate change on their content remains largely unknown. We evaluated micronutrient levels in European winter wheat grown under historical and projected climate conditions. Our findings indicate that future climates
Da Cao, Jennifer Michel, Eline Lorer, Markus Weinmann, Jacques Le Gouis, Claire Léon, Sibille Perrochon, David Alvarez, Vincent Leemans, Iñaki Balanzategui Guijarro, Jordi Moya Laraño, Sara Sánchez Moreno, Symanczik Sarah, Waibel Matthias, Hervé Vanderschuren, Cécile Thonar, Pierre Delaplace, Dominique Van Der Straeten   +17 more
wiley   +1 more source

Using the Debiased Brier Skill Score to Evaluate S2S Tropical Cyclone Forecasting

Journal of Marine Science and Engineering
To evaluate tropical cyclone forecasting on synoptic timescale, tracking and intensity are used. On subseasonal to seasonal (S2S) timescale, what aspects of tropical cyclones should be predicted and how to evaluate forecasting skills still remain open ...
Yuanben Li, Xiaochun Wang, Bingke Zhao, Ming Ying, Yimin Liu, Frederic Vitart   +5 more
doaj   +1 more source

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

A Methodical Approach to Design and Valuation of Weather Derivatives in Agriculture

Advances in Meteorology, 2013
The paper deals with weather derivatives as the potentially effective risk management tool for agricultural enterprises seeking to mitigate their income exposure to variations in weather conditions.
Jindrich Spicka, Jiri Hnilica
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Comparison of the RWDM6 and MG Microphysics Schemes in Precipitation Simulation With the GRIST Model

Earth and Space Science
Realistic representation of cloud and precipitation processes is crucial for climate simulations. A revised double‐moment 6‐class (RWDM6) cloud microphysics scheme with prognostic precipitation, instead of the Morrison‐Gettelman scheme, is implemented ...
Jiabo Li, Xindong Peng, Xiaohan Li, Juan Gu   +3 more
doaj   +1 more source